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科研机构
自动化研究所 [68]
内容类型
期刊论文 [53]
学位论文 [8]
会议论文 [7]
发表日期
2024 [1]
2023 [6]
2022 [4]
2021 [9]
2020 [7]
2019 [5]
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Graph meets probabilistic generation model: A new perspective for graph disentanglement
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:
Peng, Zouzhang
;
Zheng, Shuai
;
Zhu, Zhenfeng
;
Liu, Zhizhe
;
Cheng, Jian
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Graph representation learning
Graph disentanglement
Probabilistic generation model
Enhancing Short Track Speed Skating Performance through Improved DDQN Tactical Decision Model
期刊论文
SENSORS, 2023, 卷号: 23, 期号: 24, 页码: 12
作者:
Yang, Yuanbo
;
Li, Feimo
;
Chang, Hongxing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
short track speed skating
deep reinforcement learning
decision-making method
deep Q-network
competition performance improvement
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Wang, Changwei
;
Xu, Rongtao
;
Xu, Shibiao
;
Meng, Weiliang
;
Xiao, Jun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/12/21
Detailed representation transfer
lung nodules segmentation
medical images segmentation
soft mask
DyGAT: Dynamic stroke classification of online handwritten documents and sketches
期刊论文
PATTERN RECOGNITION, 2023, 卷号: 141, 页码: 12
作者:
Yang, Yu-Ting
;
Zhang, Yan-Ming
;
Yun, Xiao-Long
;
Yin, Fei
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/17
Stroke classification
Sketch semantic segmentation
Document layout analysis
Diagram recognition
Streaming recognition
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 25
作者:
Liang, Chenbin
;
Xiao, Baihua
;
Cheng, Bo
;
Dong, Yunyun
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/02/22
semantic segmentation
attention mechanism
cross-attention
feature fusion
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 3044-3057
作者:
Wan, Lin
;
Jing, Qianyan
;
Sun, Zongyuan
;
Zhang, Chuang
;
Li, Zhihang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Task analysis
Training
Feature extraction
Lighting
Cameras
Visualization
Self-supervised learning
Cross-modality person re-identification
self-supervised learning
multi-modality pre-training
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:
Liu, Yanhong
;
Li, Xingyu
;
Yang, Lei
;
Bian, Guibin
;
Yu, Hongnian
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Feature extraction
Gesture recognition
Task analysis
Transformers
Time-frequency analysis
Convolution
Data mining
Convolutional neural network (CNN)
feature fusion
hand gesture recognition
surface electromyography (sEMG) sensor
transformer
Subgraph-aware graph structure revision for spatial-temporal graph modeling
期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:
Wang, Yuhu
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/01/09
Graph structure learning
Graph neural network
Spatial-temporal graph modeling
An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Dong, Yunyun
;
Liang, Chenbin
;
Sun, Zengguo
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/07/25
Correlation
Task analysis
Training
Convolution
Remote sensing
Image registration
Neural networks
Image registration
phase correlation
probability-guided
random sample consensus (RANSAC)
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:
Hao Wu
;
Xin Luo
;
MengChu Zhou
;
Muhyaddin J. Rawa
;
Khaled Sedraoui
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2022/03/09
Big data
high dimensional and incomplete (HDI) tensor
latent factorization-of-tensors (LFT)
machine learning
missing data
optimization
proportional-integral-derivative (PID) controller
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